Surface Properties and Corrosion Behavior of Turn-Assisted Deep-Cold-Rolled AISI 4140 Steel
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Abstract
Abstract In this research, the effect of various turn-assisted deep-cold-rolling process parameters on the residual stress, microstructure, surface hardness, surface finish, and corrosion behavior of AISI 4140 steel has been investigated. The examination of the surface morphology of the turned and processed samples was performed by using a scanning electron microscope, energy-dispersive spectroscopy, and atomic force microscopy. Response surface methodology and desirability function approach were used for reducing the number of experiments and finding local optimized conditions for parameters under the study. The results from the residual stress measurements indicate that the rolling force has the highest effect by generating a deeper layer of residual compressive stress. The outcomes of surface hardness and surface finish emphasize that rolling force and number of tool passes are the most significant parameters affecting the responses. Surface studies confirmed the corrosion and its intensity onto the metal surface, and according to atomic force microscopy studies, the surface had become remarkably rough after exposure to the corrosive medium. Improvements in surface microhardness from 225 to 305.8 HV, the surface finish from 4.84 down to 0.261 μm, and corrosion rate from 6.672 down to 3.516 mpy are observed for a specific set of parameters by turn-assisted deep-cold-rolling process. The multiresponse optimization for surface finish and corrosion rate together shows that a ball diameter of 10 mm, a rolling force of 325.75 N, initial roughness of 4.84 µm, and number of tool passes of 3 give better values for the two responses under consideration with composite desirability of 0.9939. Based on the experimental work at the optimum parameter setting, the absolute average error between the experimental and predicted values for the corrosion rate is calculated as 3.2%.
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Research context
OpenAlex topics: Surface Treatment and Residual Stress · Metal and Thin Film Mechanics · Metal Alloys Wear and Properties
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References (55)
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1. A.T. Bozdana, On the Mechanical Surface Enhancement Techniques in Aerospace Industry—A Review of Technology, Aircr. Eng. Aerosp. Technol., 2005, 77(4), p 279–29210.1108/00022660510606349 ↗
2. Thomas Wegene, Thomas Niendorf, and Torben Oevermann, On the Evolution of Residual Stresses, Microstructure and Cyclic Performance of High-Manganese Austenitic Twip-Steel After Deep Rolling, Metals (Basel), 2019, 9, p 82510.3390/met9080825 ↗
3. F.C. Campbell, Elements of Metallurgy and Engineering Alloys, ASM International, Cleveland, 200810.31399/asm.tb.emea.9781627082518 ↗
4. N. Ben Moussa, K. Gharbi, I. Chaieb, and N. Ben Fredj, Improvement of AISI, 304 Austenitic Stainless Steel Low-Cycle Fatigue Life by Initial and Intermittent Deep Rolling, Int. J. Adv. Manuf. Technol., 2019, 101(1), p 435–44910.1007/s00170-018-2955-0 ↗
5. W. Zielecki, M. Bucior, T. Trzepiecinski, and K. Ochał, Effect of Slide Burnishing of Shoulder Fillets on the Fatigue Strength of X19NiCrMo4 Steel Shafts, Int. J. Adv. Manuf. Technol., 2020, 106(5), p 2583–259310.1007/s00170-019-04815-7 ↗
6. I. Altenberger, B. Scholtes, U. Martin, and H. Oettel, Cyclic Deformation and Near Surface Microstructures of Shot Peened or Deep Rolled Austenitic Stainless Steel AISI, 304, Mater. Sci. Eng., A, 1999, 264(1), p 1–1610.1016/S0921-5093(98)01121-6 ↗
7. S. Saalfeld, B. Scholtes, and T. Niendorf, On the Influence of Overloads on the Fatigue Performance of Deep Rolled Steel SAE 1045, Int. J. Fatigue, 2019, 126, p 221–23010.1016/j.ijfatigue.2019.05.001 ↗
8. G.O. Barbara Reggiani, Experimental Investigation on the Effect of Shot Peening and Deep Rolling on the Fatigue Response of High Strength Fasteners, Metals (Basel)., 2019, 9, p 109310.3390/met9101093 ↗
9. E. Brinksmeier, J.T. Cammett, W. König, P. Leskovar, J. Peters, and H.K. Tönshoff, Residual Stresses—Measurement and Causes in Machining Processes, CIRP Ann., 1982, 31(2), p 491–51010.1016/S0007-8506(07)60172-3 ↗
10. C. Liu et al., Fretting Fatigue Characteristics of Ti-6Al-4 V Alloy with a Gradient Nanostructured Surface Layer Induced by Ultrasonic Surface Rolling Process, Int. J. Fatigue, 2019, 125, p 249–26010.1016/j.ijfatigue.2019.03.042 ↗
11. W. Wang, S.N. DharmeshKumar, and Sridhar Idapalapati, Effect of Surface Mechanical Treatments on the Microstructure-Property-Performance of Engineering Alloys, Materials (Basel), 2019, 12, p 250310.3390/ma12162503 ↗
12. G.D. Revankar, R. Shetty, S.S. Rao, and V.N. Gaitonde, Wear Resistance Enhancement of Titanium Alloy (Ti–6Al–4 V) by Ball Burnishing Process, J. Mater. Res. Technol., 2017, 6(1), p 13–3210.1016/j.jmrt.2016.03.007 ↗
13. K. Konefal, M. Korzynski, Z. Byczkowska, and K. Korzynska, Improved Corrosion Resistance of Stainless Steel X6CrNiMoTi17-12-2 by Slide Diamond Burnishing, J. Mater. Process. Technol., 2013, 213(11), p 1997–200410.1016/j.jmatprotec.2013.05.021 ↗
14. S.M. Lee, W.G. Lee, Y.H. Kim, and H. Jang, Surface Roughness and the Corrosion Resistance of 21Cr Ferritic Stainless Steel, Corros. Sci., 2012, 63, p 404–40910.1016/j.corsci.2012.06.031 ↗
15. J. Tang, H.Y. Luo, and Y.B. Zhang, Enhancing the Surface Integrity and Corrosion Resistance of Ti-6Al-4 V Titanium Alloy Through Cryogenic Burnishing, Int. J. Adv. Manuf. Technol., 2017, 88(9), p 2785–279310.1007/s00170-016-9000-y ↗
16. A. Tolga Bozdana, N.N.Z. Gindy, and H. Li, Deep Cold Rolling with Ultrasonic Vibrations—A New Mechanical Surface Enhancement Technique, Int. J. Mach. Tools Manuf, 2005, 45(6), p 713–71810.1016/j.ijmachtools.2004.09.017 ↗
17. R.K. Nalla, I. Altenberger, U. Noster, G.Y. Liu, B. Scholtes, and R.O. Ritchie, On the Influence of Mechanical Surface Treatments—Deep Rolling and Laser Shock Peening—On the Fatigue Behavior of Ti–6Al–4 V at Ambient and Elevated Temperatures, Mater. Sci. Eng., A, 2003, 355(1), p 216–23010.1016/S0921-5093(03)00069-8 ↗
18. L. Tan, D. Zhang, C. Yao, and J. Ren, Effects of Ultrasonic Surface Rolling Parameters on Surface Integrity of TC17 Alloy, J. Mater. Eng. Perform., 2019, 28(11), p 6736–674510.1007/s11665-019-04418-z ↗
19. L.G.A. Fonseca and A.R. de Faria, Crankshaft Deep Rolling Analysis Through Energy Balance Simulation Output, J. Brazilian Soc. Mech. Sci. Eng., 2019, 41(10), p 43010.1007/s40430-019-1932-3 ↗
20. M. Nakajima, K. Tokaji, H. Itoga, and H.-N. Ko, Morphology of Step-Wise S-N Curves Depending on Work-Hardened Layer and Humidity in A High-Strength Steel, Fatigue Fract. Eng. Mater. Struct., 2003, 26(12), p 1113–111810.1046/j.1460-2695.2003.00694.x ↗
21. A. Toppo, R. Kaul, M.G. Pujar, U. Kamachi Mudali, and L.M. Kukreja, Enhancement of Corrosion Resistance of Type 304 Stainless Steel Through a Novel Thermo-mechanical Surface Treatment, J. Mater. Eng. Perform., 2013, 22(2), p 632–63910.1007/s11665-012-0304-2 ↗
22. D. Meyer and N. Wielki, Internal Reinforced Domains by Intermediate Deep Rolling in Additive Manufacturing, CIRP Ann., 2019, 68(1), p 579–58210.1016/j.cirp.2019.04.012 ↗
23. X. Luo et al., Effect of Deep Surface Rolling on Microstructure and Properties of Az91 Magnesium Alloy, Trans. Nonferrous Met. Soc. China, 2019, 29(7), p 1424–142910.1016/S1003-6326(19)65049-1 ↗
24. C.M. Gill, N. Fox, and P.J. Withers, Shakedown of Deep Cold Rolling Residual Stresses in Titanium Alloys, J. Phys. D Appl. Phys., 2008, 41, p 1–510.1051/epjap:2007176 ↗
25. K.A. Afshin Manouchehrifar, Finite Element Simulation of Deep Rolling and Evaluate the Influence of Parameters on Residual Stress, Recent Res. Appl. Mech., 2009, 1, p 121–127
26. S. Primee and P. Juijerm, Modified Mechanical Surface Treatment for Optimized Fatigue Performance of Martensitic Stainless Steel AISI, 420, Met. Mater. Int., 2019, 9, p 1–7
27. D. Kumar, S. Idapalapati, W. Wang, and A. Bhowmik, Microstructural Characteristics and Strengthening Mechanisms in A Polycrystalline Ni-Based Superalloy Under Deep Cold Rolling, Mater. Sci. Eng., A, 2019, 753, p 285–29910.1016/j.msea.2019.03.005 ↗
28. Y.D. Ye, X.P. Li, Z.Y. Sun, H.B. Wang, and G.Y. Tang, Enhanced Surface Mechanical Properties and Microstructure Evolution of Commercial Pure Titanium Under Electropulsing-Assisted Ultrasonic Surface Rolling Process, Acta Metall. Sin. English Lett., 2018, 31(12), p 1272–128010.1007/s40195-018-0738-0 ↗
29. D. Mombeini, and A. Atrian (2018) Investigation of Deep Cold Rolling Effects on the Bending Fatigue of Brass C38500. Lat. Am. J. Solids Struct. 15(4)10.1590/1679-78254317 ↗
30. P.J.P. Donhongprai, Optimized Fatigue Performance of Martensitic Stainless Steel AISI, 440C Using Deep Rolling Integrated Into Hardening Process, J. Min. Metall. Sect. B Metall., 2018, 54(1), p 67–7110.2298/JMMB160720024D ↗
31. S. Saalfeld, T. Oevermann, T. Niendorf, and B. Scholtes, Consequences of Deep Rolling on the Fatigue Behavior of Steel SAE 1045 at High Loading Amplitudes, Int. J. Fatigue, 2019, 118, p 192–20110.1016/j.ijfatigue.2018.09.014 ↗
32. S.M.K. Raghavendra Prabhu, S.S. Sharma, K. Jagannath, and Krishna Kumar, Surface Improvement of Shafts by Turn-Assisted Deep Cold Rolling Process, MATEC Web Conf., 2016, 77, p 1–4
33. N. Tsuji, S. Tanaka, and T. Takasugi, Evaluation of Surface-Modified Ti–6Al–4 V alloy by combination of plasma-carburizing and deep-rolling, Mater. Sci. Eng., A, 2008, 488(1), p 139–14510.1016/j.msea.2007.11.079 ↗
34. Y.-F. Jia et al., Enhanced Surface Strengthening of Titanium Treated by Combined Surface Deep-Rolling and Oxygen Boost Diffusion Technique, Corros. Sci., 2019, 157, p 256–26710.1016/j.corsci.2019.05.020 ↗
35. P.R. Prabhu, D. Prabhu, and P. Rao, Optimization of the parameters influencing the inhibition efficiency of 6063 Al alloy in 0.5 M NaOH using response surface methodology, Int. J. Mech. Prod. Eng. Res. Dev., 2020, 10(2), p 51–64
36. D.C. Montgomery, Design and Analysis of Experiments: Response Surface Method and Designs, Wiley, New Jersey, 2005
37. P. R. Prabhu, D. Prabhu, and P. Rao (2020) Analysis of Garcinia Indica Choisy Extract as Eco-Friendly Corrosion Inhibitor for Aluminum in Phosphoric Acid Using the Design of Experiment. J. Mater. Res. Technol.10.1016/j.jmrt.2020.01.100 ↗
38. A. Sagbas, Analysis and Optimization of Surface Roughness in the Ball Burnishing Process using Response Surface Methodology and Desirabilty Function, Adv. Eng. Softw., 2011, 42(11), p 992–99810.1016/j.advengsoft.2011.05.021 ↗
39. A.M. Hassan and A.M. Maqableh, The Effects of Initial Burnishing Parameters on Non-Ferrous Components, J. Mater. Process. Technol., 2000, 102(1), p 115–12110.1016/S0924-0136(00)00464-7 ↗
40. B. Sachin, S. Narendranath, and D. Chakradhar, Application of Desirability Approach to Optimize the Control Factors in Cryogenic Diamond Burnishing, Arab. J. Sci. Eng., 2020, 45(2), p 1305–131710.1007/s13369-019-04326-3 ↗
41. R. Teimouri, S. Amini, and A.B. Bami, Evaluation of Optimized Surface Properties and Residual Stress in Ultrasonic Assisted Ball Burnishing of AA6061-T6, Measurement, 2018, 116, p 129–13910.1016/j.measurement.2017.11.001 ↗
42. P.J. Ross, Taguchi Techniques for Quality Engineering: Loss Function, Orthogonal Experiments, Parameter and Tolerance Design, McGraw-Hill, New York, 1996
43. T.-T. Nguyen, L.-H. Cao, X.-P. Dang, T.-A. Nguyen, and Q.-H. Trinh, Multi-Objective Optimization of the Flat Burnishing Process for Energy Efficiency and Surface Characteristics, Mater. Manuf. Process., 2019, 34(16), p 1888–190110.1080/10426914.2019.1689266 ↗
44. Y.X. Zhao, Fatigue Crack Growth Law Covering Threshold and Fracture Toughness for Railway LZ50 Axle Steel, Adv. Mater. Res., 2012, 544, p 280–28510.4028/www.scientific.net/AMR.544.280 ↗
45. C. Dureau et al., On the Influence of Ultrasonic Surface Mechanical Attrition Treatment (SMAT) on the Fatigue Behavior of the 304L Austenitic Stainless Steel, Metals (Basel), 2020, 10(1), p 10010.3390/met10010100 ↗
46. S. Ren et al., Enhanced Surface Properties and Microstructure Evolution of Cr12MoV Using Ultrasonic Surface Rolling Process Combined with Deep Cryogenic Treatment, J. Mater. Eng. Perform., 2019, 28(2), p 1132–114010.1007/s11665-018-3843-3 ↗
47. W. Zhao et al., Improving the Fretting and Corrosion Fatigue Performance of 300 m Ultra-High Strength Steel Using the Ultrasonic Surface Rolling Process, Int. J. Fatigue, 2019, 121, p 30–3810.1016/j.ijfatigue.2018.11.017 ↗
48. Z.-M. Wang, Y.-F. Jia, X.-C. Zhang, Y. Fu, C.-C. Zhang, and S.-T. Tu, Effects of Different Mechanical Surface Enhancement Techniques on Surface Integrity and Fatigue Properties of Ti-6Al-4 V: A Review, Crit. Rev. Solid State Mater. Sci., 2019, 44(6), p 445–46910.1080/10408436.2018.1492368 ↗
49. D. Meyer and J. Kämmler, Surface Integrity of AISI, 4140 After Deep Rolling with Varied External and Internal Loads, Procedia CIRP, 2016, 45, p 363–36610.1016/j.procir.2016.02.356 ↗
50. D.B. Nataliya Lyubenova, Finite Element Modelling and Investigation of the Process Parameters in Deep Rolling of AISI, 4140 Steel, J. Mater. Sci. Eng. B, 2015, 5(7), p 277–287
51. H.C. Hao Fu, Yan Liu, Xu Qian, Xiulin Yan, and Guiying Yang, Effect of Deep Rolling Parameters on Surface Integrity of LZ50 Axles, Int. J. Mod. Phys. B, 2019, 33(25), p 1–12
52. E. Oberg and R.E. Green, Machinery’s Handbook: A Reference Book for the Mechanical Engineer, Designer, Manufacturing Engineer, Toolmaker, and Machinist, Industrial Press, Draftsman, 1996
53. G.M.C.P.R. Prabhu, S.S. Sharma, and S.M. Kulkarni, Turn-Assisted Deep Cold Rolling: An Innovative Manufacturing Method for the improvement of Fatigue Life, Int. J. Appl. Eng. Res., 2015, 10(78), p 64–68
54. A. G1-90, Standard Practice for Preparation, Cleaning, and Evaluating Corrosion Test Specimens. 1999.
55. I. State College, PA: Minitab, Minitab 17 Statistical Software. 2019.